| Title |
Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor
|
|---|---|
| Published in |
Journal of Medical Systems, April 2019
|
| DOI | 10.1007/s10916-019-1284-7 |
| Pubmed ID | |
| Authors |
Peng Liang, Guijun Sun, Sirong Wei |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 13% |
| Student > Doctoral Student | 2 | 5% |
| Researcher | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Lecturer | 1 | 3% |
| Other | 6 | 15% |
| Unknown | 21 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 15% |
| Medicine and Dentistry | 5 | 13% |
| Engineering | 3 | 8% |
| Physics and Astronomy | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 22 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2019.
All research outputs
#20,568,245
of 23,144,579 outputs
Outputs from Journal of Medical Systems
#1,019
of 1,167 outputs
Outputs of similar age
#299,221
of 349,577 outputs
Outputs of similar age from Journal of Medical Systems
#29
of 38 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,167 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.